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In-Vitro-In-Vivo Correlation (IVIVC): A Tool In drug Development

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Title: In-Vitro-In-Vivo Correlation (IVIVC): A Tool In drug Development


1
In-Vitro-In-Vivo Correlation (IVIVC) A Tool In
drug Development
  • Mr. Somnath Sakore
  • Cadila Pharmaceuticals Ltd

2
Outline
  • Definition of IVIVC
  • Purpose of IVIVC
  • Levels of IVIVC
  • In vitro data
  • In vivo data
  • IVIVC models
  • IVIVC development
  • Predictability
  • IVIVC in drug development of extended release
    products
  • Issues
  • Factors to be consider for correlation
    development
  • Conclusion

3
Definition of IVIVC
  • United State Pharmacopoeia (USP) definition of
    IVIVC
  • The establishment of a rational relationship
    between a biological property, or a parameter
    derived from a biological property produced by a
    dosage form, and a physicochemical property or
    characteristic of the same dosage Form.
  • Food and Drug Administration (FDA) definition of
    IVIVC
  • An In-vitro in-vivo correlation (IVIVC) has been
    defined by the Food and Drug Administration
    (FDA) as a predictive mathematical model
    describing the relationship between an in-vitro
    property of a dosage form and an in-vivo
    response.
  • e.g., amount of drug absorbed, thus allowing an
    evaluation of the QC specifications, change in
    process, site, formulation and application for a
    biowaiver etc.

4
PURPOSE OF IVIVC
  • Reduction of regulatory burden
  • IVIVC can be used as substitute for additional in
    vivo experiments, under certain conditions.
  • Optimization of formulation
  • The optimization of formulations may require
    changes in the composition, manufacturing
    process, equipment, and batch sizes. In order to
    prove the validity of a new formulation, which is
    bioequivalent with a target formulation, a
    considerable amount of efforts is required to
    study bioequivalence (BE)
  • /bioavailability (BA).

5
PURPOSE OF IVIVC
  • IVIVC as surrogate for in vivo bioequivalence
    and to support biowaivers (Time and cost saving)
  • The main purpose of an IVIVC model to utilize in
    vitro dissolution profiles as a surrogate for in
    vivo bioequivalence and to support biowaivers.
  • Scale up post approval changes (Time and cost
    saving during product development)
  • validated IVIVC is also serves as justification
    for a biowaivers in filings of a Level 3 (or
    Type II in Europe) variation, either during
    scale-up or post approval, as well as for line
    extensions (e.g., different dosage strengths)
  • Less testing in Human

6
Levels of IVIVC
  • Level A point-point first deconvolution to get
    in vivo drug absorbed, then compare with
    dissolved
  • Level B Statistical moments MRT or MDT in vivo
    vs. MDT in vitro
  • Level C single point PK parameter vs.
    dissolved

Level B
Level A
Level C
Level A
Malinowski and Marroum, Encyclopedia of Contr.
Drug Deliv.
7
FACTORS TO BE CONSIDER IN DEVELOPING A
CORRELATION
  • 1. Biopharmaceutics Classification System
    (BCS)
  • BCS guidelines are provided by USFDA, WHO, and
    EMEA
  • Class I HIGH solubility / High permeability,
  • Class II LOW solubility / High permeability,
  • Class III HIGH solubility / LOW permeability
  • Class IV LOW solubility / LOW permeability
  • BCS Criteria
  • highly soluble drugs therapeutic dose is
    soluble in 250 mL (pH 1 7.5)
  • highly permeable drugs extent of absorption
    gt 90
  • (rapidly dissolving no less than 85 within 30
    min,
  • USP II / 50 rpm /pH 1 - 6.8 always considered
  • similar if 85 released in less than 15 min)

8
Biopharmaceutics Classification System
Class Solubility Permeability IVIVC correlation for IR Products
I High High IVIVC correlation if dissolution rate is slower than gastric emptying rate, otherwise limited or no correlation
II Low High IVIVC correlation expected if in in vitro dissolution rate is similar to in vivo dissolution rate , unless dose is very high
III High Low Absorption permeability is rate determining and limited or no IVIV correlation with dissolution rate.
IV Low Low Limited or no IVIV correlation expected.
9
Generation of In-Vitro Release Profile
  • USP apparatus 1 (basket, 100 rpm) or 2 (paddle,
    5075 rpm)
  • Aqueous dissolution medium, 900 ml
  • pH 1-1.5, 4-4.5, 6-6.5 7-7.5 at 370C
  • A surfactant may be required (For low solubility
    drugs)
  • In-vitro food effect
  • Rotating dialysis cell method
  • Effects of oils, enzymes and pH

10
  • 2. In vitro dissolution
  • Compendial method (justify other method)
  • The dissolution profiles of at least 12
    individual dosage units
  • from each lot should be determined
  • aqueous medium, n 12 (!), CV lt 10
  • difference factor f1, similarity factor f2

11
  • Comparison between dissolution profiles could be
    achieved using a difference factor (f1) and a
    similarity factor (f2)

f1 values up to 15 (0-15)
f2 values greater than 50 (50-100)
n number of time points, Rt dissolution
value of the reference batch at time t, Tt is
the dissolution value of the test batch at time t
12
  • 3. In vivo absorption (Bioavailability studies)
  • Number of subjects 6 to 36.
  • Crossover studies are preferred
  • formulations with different release rates
  • same moiety as measured in vitro
  • Washout period of at least five half-lives.
  • BA assessed from Plasma or urine data
  • AUC, Cmax, Tmax
  • In vivo absorption- Wagner-Nelson,
    Loo-Riegelman, and numerical
  • convolution methods.

13
Generation of In-Vivo Release Profile
  • Compartmental Models
  • Wagner-Nelson
  • Loo-Riegelman
  • Linear Systems Models
  • Deconvolution
  • Convolution
  • Mathematically they all yield the same result

14
First step Calculation of in vivo release
profiles from plasma concentrations of an oral
solution and different formulations
15
Second step Comparison of calculated in vivo
release with in vitro release data for the same
formulations and establishment of a quantitative
correlation model using a linear or non-linear
regression
16
IVIVC MODELS
17
IVIVC DEVELOPMENT
18
IVIVC in the product development process for
extended-release products
J.Emami, J Pharm Pharmaceut Sci
(www.cspscanada.org) 9(2)169-189, 2006
19
IVIVC Model Predictability (Validation)
For Cmax
For AUC
  • Acceptance criteria According to FDA guidance
  • 15 for absolute prediction error (P.E.) of
    each formulation.
  • 10 for mean absolute prediction error (P.E.)

20
IVIVC Bench Issues (Practical issues)
  • Reliable and biorelevant dissolution method and
    apparatus suitability
  • Qualification and calibration of equipment, sink
    conditions
  • Ability to discriminate non-BE lots
  • Apparatus and media for continuous IVIVC (minimum
    3 lots) and tuning with GI conditions
  • Accurate deconvolution of the plasma
    concentration-time profile
  • e.g., absorbed in-vivo may be reflective of
    processes other than release absorption rate
    limitation is common for CR products
  • Dissolution Specifications
  • Based on biological findings rather than
    pharmacopeial or mechanistic

21
IVIVC Modeling Issues
  • Intra- and Inter-subject variation
  • High variations can distort the mean data and in
    turn the deconvolution
  • Enterohepatic recycling or second peak
  • Reproducibility of reference profiles
  • Modeling
  • Smoothness of input and response functions
  • Jumps in input rate functions, e.g., delayed
    release or gastric emptying
  • Statistical properties of the models

22
Conclusions
  • The pharmaceutical industry has been striving to
    find a ways to saving precious resources in
    relevance to the budgets and increasing cost of
    drug development. IVIVC is a tool applied in
    various areas and stages of drug development to
    find a place in the regulatory bodies around the
    world.
  • Biorelevant and reliable dissolution profiles can
    predict the in-vivo absorption of drugs from CR
    formulations.
  • Batches with similar dissolution will be BE and
    dissimilar dissolution will be non-BE
  • Several methods exist for estimating in-vivo
    absorption
  • Level A (point-to-point) or B (mean dissolution
    times) correlation can be obtained for BCS class
    1 or 2 drugs
  • At least 3 lots (desirable, fast and slow) must
    be established with IVIVC and proper reference.

23
Conclusions
  • IVIVC is useful in SUPAC and biowaivers can
    save substantial costs and
  • time when registering product changes
  • Both practical and modeling issues must be
    addressed
  • need to develop methodologies and standards for
    non-oral delivery systems, to develop more
    meaningful dissolution and permeation methods.  

24
  • THANKS!!!
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